Literature DB >> 28290736

Accuracy and Reliability of Marker-Based Approaches to Scale the Pelvis, Thigh, and Shank Segments in Musculoskeletal Models.

Hans Kainz1,2,3, Hoa X Hoang1, Chris Stockton4, Roslyn R Boyd5, David G Lloyd1, Christopher P Carty1,2.   

Abstract

Gait analysis together with musculoskeletal modeling is widely used for research. In the absence of medical images, surface marker locations are used to scale a generic model to the individual's anthropometry. Studies evaluating the accuracy and reliability of different scaling approaches in a pediatric and/or clinical population have not yet been conducted and, therefore, formed the aim of this study. Magnetic resonance images (MRI) and motion capture data were collected from 12 participants with cerebral palsy and 6 typically developed participants. Accuracy was assessed by comparing the scaled model's segment measures to the corresponding MRI measures, whereas reliability was assessed by comparing the model's segments scaled with the experimental marker locations from the first and second motion capture session. The inclusion of joint centers into the scaling process significantly increased the accuracy of thigh and shank segment length estimates compared to scaling with markers alone. Pelvis scaling approaches which included the pelvis depth measure led to the highest errors compared to the MRI measures. Reliability was similar between scaling approaches with mean ICC of 0.97. The pelvis should be scaled using pelvic width and height and the thigh and shank segment should be scaled using the proximal and distal joint centers.

Entities:  

Keywords:  MRI; OpenSim; cerebral palsy; musculoskeletal model; scaling

Mesh:

Year:  2017        PMID: 28290736     DOI: 10.1123/jab.2016-0282

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  10 in total

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Authors:  Alireza Shamsoddini; Mohammad Taghi Hollisaz
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

2.  Comparison of kinematic parameters of children gait obtained by inverse and direct models.

Authors:  Jurgita Ziziene; Kristina Daunoraviciene; Giedre Juskeniene; Juozas Raistenskis
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

3.  Conclusion or Illusion: Quantifying Uncertainty in Inverse Analyses From Marker-Based Motion Capture due to Errors in Marker Registration and Model Scaling.

Authors:  Thomas K Uchida; Ajay Seth
Journal:  Front Bioeng Biotechnol       Date:  2022-05-25

4.  Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models.

Authors:  Edin K Suwarganda; Laura E Diamond; David G Lloyd; Thor F Besier; Ju Zhang; Bryce A Killen; Trevor N Savage; David J Saxby
Journal:  PLoS One       Date:  2019-02-11       Impact factor: 3.240

5.  A Systematic Review of the Associations Between Inverse Dynamics and Musculoskeletal Modeling to Investigate Joint Loading in a Clinical Environment.

Authors:  Jana Holder; Ursula Trinler; Andrea Meurer; Felix Stief
Journal:  Front Bioeng Biotechnol       Date:  2020-12-07

6.  Fused ultrasound and electromyography-driven neuromuscular model to improve plantarflexion moment prediction across walking speeds.

Authors:  Qiang Zhang; Natalie Fragnito; Jason R Franz; Nitin Sharma
Journal:  J Neuroeng Rehabil       Date:  2022-08-09       Impact factor: 5.208

7.  Uncertainty in Muscle-Tendon Parameters can Greatly Influence the Accuracy of Knee Contact Force Estimates of Musculoskeletal Models.

Authors:  Seyyed Hamed Hosseini Nasab; Colin R Smith; Allan Maas; Alexandra Vollenweider; Jörn Dymke; Pascal Schütz; Philipp Damm; Adam Trepczynski; William R Taylor
Journal:  Front Bioeng Biotechnol       Date:  2022-06-03

8.  Refining muscle geometry and wrapping in the TLEM 2 model for improved hip contact force prediction.

Authors:  Enrico De Pieri; Morten E Lund; Anantharaman Gopalakrishnan; Kasper P Rasmussen; David E Lunn; Stephen J Ferguson
Journal:  PLoS One       Date:  2018-09-17       Impact factor: 3.240

9.  Marker Placement Reliability and Objectivity for Biomechanical Cohort Study: Healthy Aging in Industrial Environment (HAIE-Program 4).

Authors:  Jan Malus; Jiri Skypala; Julia Freedman Silvernail; Jaroslav Uchytil; Joseph Hamill; Tomas Barot; Daniel Jandacka
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

10.  Effectiveness of Global Optimisation and Direct Kinematics in Predicting Surgical Outcome in Children with Cerebral Palsy.

Authors:  Claude Fiifi Hayford; Emma Pratt; John P Cashman; Owain G Evans; Claudia Mazzà
Journal:  Life (Basel)       Date:  2021-11-27
  10 in total

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